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AutoML 2015

What is AutoML?Machine learning has achieved considerable successes in recent years and an ever-growing
number of disciplines rely on it. However, this success crucially relies on human machine
learning experts, who select appropriate features, workflows, machine learning paradigms,
algorithms, and their hyperparameters. As the complexity of these tasks is often beyond
non-experts, the rapid growth of machine learning applications has created a demand for
off-the-shelf machine learning methods that can be used easily and without expert knowledge.
We call the resulting research area that targets progressive automation of machine learning
AutoML.